Evidence map›Paper›PMID 36261802›Full record

ArticleBMC infectious diseases2022

Metagenomic analysis reveals differences in the co-occurrence and abundance of viral species in SARS-CoV-2 patients with different severity of disease.

Pavel Iša, Blanca Taboada, Rodrigo García-López, Celia Boukadida, José Ernesto Ramírez-González, Joel Armando Vázquez-Pérez, Alejandra Hernández-Terán, José Ángel Romero-Espinoza, José Esteban Muñoz-Medina, Concepción Grajales-Muñiz and 10 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. The respiratory tract virome: unravelling the role of viral dark matter in respiratory health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  3. Article
  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 1 country.

Pavel IšaDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico. pavel.isa@ibt.unam.mx.
Blanca TaboadaDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Rodrigo García-LópezDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Celia BoukadidaCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
José Ernesto Ramírez-GonzálezInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Ciudad de Mexico, Mexico.
Joel Armando Vázquez-PérezInstituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Alejandra Hernández-TeránInstituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
José Ángel Romero-EspinozaInstituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
José Esteban Muñoz-MedinaCoordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Concepción Grajales-MuñizCoordinación de Calidad de Insumos y Laboratorios Especializados, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Alma Rincón-RubioCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Margarita Matías-FlorentinoCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Alejandro Sanchez-FloresUnidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Edgar Mendieta-CondadoInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Ciudad de Mexico, Mexico.
Gisela Barrera-BadilloInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Ciudad de Mexico, Mexico.
Susana LópezDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Lucía Hernández-RivasInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Ciudad de Mexico, Mexico.
Irma López-MartínezInstituto de Diagnóstico y Referencia Epidemiológicos, Dirección General de Epidemiología, Ciudad de Mexico, Mexico.
Santiago Ávila-RíosCentro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
Carlos F AriasDepartamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, Mexico.
Instituto Nacional de Enfermedades Respiratorias · MXUniversidad Nacional Autónoma de México · MXDireccion General de Epidemiologia · MXMexican Social Security Institute · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSARS-CoV-2 infections have a wide spectrum of clinical manifestations whose causes are not completely understood. Some human conditions predispose to severe outcome, like old age or the presence of comorbidities, but many other facets, including coinfections with other viruses, remain poorly characterized.

methodsIn this study, the eukaryotic fraction of the respiratory virome of 120 COVID-19 patients was characterized through whole metagenomic sequencing.

resultsGenetic material from respiratory viruses was detected in 25% of all samples, whereas human viruses other than SARS-CoV-2 were found in 80% of them. Samples from hospitalized and deceased patients presented a higher prevalence of different viruses when compared to ambulatory individuals. Small circular DNA viruses from the Anneloviridae (Torque teno midi virus 8, TTV-like mini virus 19 and 26) and Cycloviridae families (Human associated cyclovirus 10), Human betaherpesvirus 6, were found to be significantly more abundant in samples from deceased and hospitalized patients compared to samples from ambulatory individuals. Similarly, Rotavirus A, Measles morbillivirus and Alphapapilomavirus 10 were significantly more prevalent in deceased patients compared to hospitalized and ambulatory individuals.

conclusionsResults show the suitability of using metagenomics to characterize a broader peripheric virological landscape of the eukaryotic virome in SARS-CoV-2 infected patients with distinct disease outcomes. Identified prevalent viruses in hospitalized and deceased patients may prove important for the targeted exploration of coinfections that may impact prognosis.

Indexed as

CoinfectionCOVID-19VirusesDNA, CircularHumansSARS-CoV-2Severity of Illness IndexDNA, CircularCOVID-19Disease severityMetagenomic sequencingRespiratory virusesSARS-CoV-2

Identifiers

PMID36261802
PMCPMC9580447
OpenAlexW4306795463

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.